Team:NTU-Taida/Modeling

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==System Analysis==
==System Analysis==
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To have better understanding of the roles each parameter plays in our single cell model, we performed system analysis, which explores extensively into the parameter space. With the help of the system analysis, we are able to determine which parameters should be adjusted in order to achieve our expected circuit response.  
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To have better understanding of the roles each parameter plays in our single cell model, we performed system analysis, which explores extensively into the parameter space. With the help of the system analysis, we are able to determine which parameters should be adjusted in order to achieve our expected circuit response. This quantitative information (dry) will in the future feed into the design and construction of our actual system (wet) - for instance, the strength of promoter, copy number of an operator site, degradation rate of a repressor protein, etc.
[[FIle:NTU-Taida-Model-System-Overview.png|450px|thumb|center]]
[[FIle:NTU-Taida-Model-System-Overview.png|450px|thumb|center]]

Revision as of 18:47, 26 September 2012

Modeling Overview

Modeling Overview

To evaluate the synthetic network designs in our pepdex system, we performed thorough analysis of our anti-obesity device by created a series of computational models describing the circuit in our E.coli cells, the communications between cells, and the dynamic change in their extracellular environment.

Contents

Single Cell Model

To get started, we designed a single cell model based on ordinary differential equations to simulate the function of our circuit in a single E.coli cell. With the single cell model, we can predict the behavior of our sensor, high pass filter and quorum sensing system.

NTU-Taida-Model-Single-DEs.png
NTU-Taida-Model-Single-Overview-Time-Response.png

System Analysis

To have better understanding of the roles each parameter plays in our single cell model, we performed system analysis, which explores extensively into the parameter space. With the help of the system analysis, we are able to determine which parameters should be adjusted in order to achieve our expected circuit response. This quantitative information (dry) will in the future feed into the design and construction of our actual system (wet) - for instance, the strength of promoter, copy number of an operator site, degradation rate of a repressor protein, etc.

NTU-Taida-Model-System-Overview.png

Fatty Acid Reaction Absorption Model

In parallel to these effort we created a two dimensional dynamic reaction- absorption model , using the mechanical engineering software platform COMSOL, to describe the spatial-temporal change of fatty acid level in the extracellular environment after a meal.

NTU-Taida-Model-FA-Overview.png


Cell Population Response Model

To move further from single cell response to the response of a cell population, we conducted another two dimensional spatial-temporal model in COMSOL, which simulate the communication of cells through quorum sensing in our synthetic system.

NTU-Taida-Model-Cell-Overview.png


Partition System Model

Last but not least, ____(partition system)

These modeling were valuable in the decision process on how to design our synthetic network. With the interactive talk between the biologists and modelers, we are able to avoid problems in advance and gain further insights into our pepdex system.